Optimization of SWCNT-coated fabric sensors for human joint motion sensing

Hyun Seung Cho, Seon Hyung Park, Jin Hee Yang, Su Youn Park, Bo Ram Han, Jin Sun Kim, Hae Dong Lee, Kang Hwi Lee, Jeong Whan Lee, Bok Ku Kang, Chang Soo Chon, Hansung Kim, Joo Hyeon Lee

Research output: Contribution to journalArticle

Abstract

This study explored the feasibility of utilizing an SWCNT-coated fabric sensor for the development of a wearable motion sensing device. The extent of variation in electric resistance of the sensor material was evaluated by varying the fiber composition of the SWCNT-coated base fabrics, attachment methods, number of layers, and sensor width and length. 32 sensors were fabricated by employing different combinations of these variables. Using a custom-built experimental jig, the amount of voltage change in a fabric sensor as a function of the length was measured as the fabric sensors underwent loading-unloading test with induced strains of 30 %, 40 %, and 50 % at a frequency of 0.5 Hz. First-step analysis revealed the following: characteristics of the strain-voltage curves of the fabric sensors confirmed that 14 out of 32 sensors were evaluated as more suitable for measuring human joint movement, as they yield stable resistance values under tension-release conditions; furthermore, significantly stable resistance values were observed at each level of strain. Secondly, we analyzed the averaged maximum, minimum, and standard deviations at various strain levels. From this analysis, it was determined that the two-layer sensor structure and welding attachment method contributed to the improvement of sensing accuracy.

Original languageEnglish
Pages (from-to)2059-2066
Number of pages8
JournalJournal of Electrical Engineering and Technology
Volume13
Issue number5
DOIs
Publication statusPublished - 2018 Sep 1

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Sensors
Jigs
Electric potential
Unloading
Welding
Fibers
Chemical analysis

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Cho, H. S., Park, S. H., Yang, J. H., Park, S. Y., Han, B. R., Kim, J. S., ... Lee, J. H. (2018). Optimization of SWCNT-coated fabric sensors for human joint motion sensing. Journal of Electrical Engineering and Technology, 13(5), 2059-2066. https://doi.org/10.5370/JEET.2018.13.5.2059
Cho, Hyun Seung ; Park, Seon Hyung ; Yang, Jin Hee ; Park, Su Youn ; Han, Bo Ram ; Kim, Jin Sun ; Lee, Hae Dong ; Lee, Kang Hwi ; Lee, Jeong Whan ; Kang, Bok Ku ; Chon, Chang Soo ; Kim, Hansung ; Lee, Joo Hyeon. / Optimization of SWCNT-coated fabric sensors for human joint motion sensing. In: Journal of Electrical Engineering and Technology. 2018 ; Vol. 13, No. 5. pp. 2059-2066.
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Cho, HS, Park, SH, Yang, JH, Park, SY, Han, BR, Kim, JS, Lee, HD, Lee, KH, Lee, JW, Kang, BK, Chon, CS, Kim, H & Lee, JH 2018, 'Optimization of SWCNT-coated fabric sensors for human joint motion sensing', Journal of Electrical Engineering and Technology, vol. 13, no. 5, pp. 2059-2066. https://doi.org/10.5370/JEET.2018.13.5.2059

Optimization of SWCNT-coated fabric sensors for human joint motion sensing. / Cho, Hyun Seung; Park, Seon Hyung; Yang, Jin Hee; Park, Su Youn; Han, Bo Ram; Kim, Jin Sun; Lee, Hae Dong; Lee, Kang Hwi; Lee, Jeong Whan; Kang, Bok Ku; Chon, Chang Soo; Kim, Hansung; Lee, Joo Hyeon.

In: Journal of Electrical Engineering and Technology, Vol. 13, No. 5, 01.09.2018, p. 2059-2066.

Research output: Contribution to journalArticle

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AU - Cho, Hyun Seung

AU - Park, Seon Hyung

AU - Yang, Jin Hee

AU - Park, Su Youn

AU - Han, Bo Ram

AU - Kim, Jin Sun

AU - Lee, Hae Dong

AU - Lee, Kang Hwi

AU - Lee, Jeong Whan

AU - Kang, Bok Ku

AU - Chon, Chang Soo

AU - Kim, Hansung

AU - Lee, Joo Hyeon

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N2 - This study explored the feasibility of utilizing an SWCNT-coated fabric sensor for the development of a wearable motion sensing device. The extent of variation in electric resistance of the sensor material was evaluated by varying the fiber composition of the SWCNT-coated base fabrics, attachment methods, number of layers, and sensor width and length. 32 sensors were fabricated by employing different combinations of these variables. Using a custom-built experimental jig, the amount of voltage change in a fabric sensor as a function of the length was measured as the fabric sensors underwent loading-unloading test with induced strains of 30 %, 40 %, and 50 % at a frequency of 0.5 Hz. First-step analysis revealed the following: characteristics of the strain-voltage curves of the fabric sensors confirmed that 14 out of 32 sensors were evaluated as more suitable for measuring human joint movement, as they yield stable resistance values under tension-release conditions; furthermore, significantly stable resistance values were observed at each level of strain. Secondly, we analyzed the averaged maximum, minimum, and standard deviations at various strain levels. From this analysis, it was determined that the two-layer sensor structure and welding attachment method contributed to the improvement of sensing accuracy.

AB - This study explored the feasibility of utilizing an SWCNT-coated fabric sensor for the development of a wearable motion sensing device. The extent of variation in electric resistance of the sensor material was evaluated by varying the fiber composition of the SWCNT-coated base fabrics, attachment methods, number of layers, and sensor width and length. 32 sensors were fabricated by employing different combinations of these variables. Using a custom-built experimental jig, the amount of voltage change in a fabric sensor as a function of the length was measured as the fabric sensors underwent loading-unloading test with induced strains of 30 %, 40 %, and 50 % at a frequency of 0.5 Hz. First-step analysis revealed the following: characteristics of the strain-voltage curves of the fabric sensors confirmed that 14 out of 32 sensors were evaluated as more suitable for measuring human joint movement, as they yield stable resistance values under tension-release conditions; furthermore, significantly stable resistance values were observed at each level of strain. Secondly, we analyzed the averaged maximum, minimum, and standard deviations at various strain levels. From this analysis, it was determined that the two-layer sensor structure and welding attachment method contributed to the improvement of sensing accuracy.

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